Browsing by Subject "Muscle strength"

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  • Multanen, Juhani; Häkkinen, Arja; Kautiainen, Hannu; Ylinen, Jari (2021)
    Background: Neck pain has been associated with weaker neck muscle strength and decreased cervical spine range of motion. However, whether neck muscle strength or cervical spine mobility predict later neck disability has not been demonstrated. In this 16-year prospective study, we investigated whether neck muscle strength and cervical spine mobility are associated with future neck pain and related disability in women pain-free at baseline. Methods: Maximal isometric neck muscle strength and passive range of motion (PROM) of the cervical spine of 220 women (mean age 40, standard deviation (SD) 12 years) were measured at baseline between 2000 and 2002. We conducted a postal survey 16 years later to determine whether any subjects had experienced neck pain and related disability. Linear regression analysis adjusted for age and body mass index was used to determine to what extent baseline neck strength and PROM values were associated with future neck pain and related disability assessed using the Neck Disability Index (NDI). Results: The regression analysis Beta coefficient remained below 0.1 for all the neck strength and PROM values, indicating no association between neck pain and related disability. Of the 149 (68%) responders, mean NDI was lowest (3.3, SD 3.8) in participants who had experienced no neck pain (n = 50), second lowest (7.7, SD 7.1) in those who had experienced occasional neck pain (n = 94), and highest (19.6, SD 22.0) in those who had experienced chronic neck pain (n = 5). Conclusions: This 16-year prospective study found no evidence for an association between either neck muscle strength or mobility and the occurrence in later life of neck pain and disability. Therefore, screening healthy subjects for weaker neck muscle strength or poorer cervical spine mobility cannot be recommended for preventive purposes.
  • Sillanpää, Elina; Heikkinen, Aino; Kankaanpää, Anna; Paavilainen, Aini; Kujala, Urho M.; Tammelin, Tuija H.; Kovanen, Vuokko; Sipilä, Sarianna; Pietiläinen, Kirsi H.; Kaprio, Jaakko; Ollikainen, Miina; Laakkonen, Eija K. (BioMed Central, 2021)
    Abstract The aim of this study was to investigate the correspondence of different biological ageing estimates (i.e. epigenetic age) in blood and muscle tissue and their associations with physical activity (PA), physical function and body composition. Two independent cohorts (N = 139 and N = 47) were included, whose age span covered adulthood (23–69 years). Whole blood and m. vastus lateralis samples were collected, and DNA methylation was analysed. Four different DNA methylation age (DNAmAge) estimates were calculated using genome-wide methylation data and publicly available online tools. A novel muscle-specific methylation age was estimated using the R-package ‘MEAT’. PA was measured with questionnaires and accelerometers. Several tests were conducted to estimate cardiorespiratory fitness and muscle strength. Body composition was estimated by dual-energy X-ray absorptiometry. DNAmAge estimates from blood and muscle were highly correlated with chronological age, but different age acceleration estimates were weakly associated with each other. The monozygotic twin within-pair similarity of ageing pace was higher in blood (r = 0.617–0.824) than in muscle (r = 0.523–0.585). Associations of age acceleration estimates with PA, physical function and body composition were weak in both tissues and mostly explained by smoking and sex. The muscle-specific epigenetic clock MEAT was developed to predict chronological age, which may explain why it did not associate with functional phenotypes. The Horvath’s clock and GrimAge were weakly associated with PA and related phenotypes, suggesting that higher PA would be linked to accelerated biological ageing in muscle. This may, however, be more reflective of the low capacity of epigenetic clock algorithms to measure functional muscle ageing than of actual age acceleration. Based on our results, the investigated epigenetic clocks have rather low value in estimating muscle ageing with respect to the physiological adaptations that typically occur due to ageing or PA. Thus, further development of methods is needed to gain insight into muscle tissue-specific ageing and the underlying biological pathways.
  • Stenholm, Sari; Ferrucci, Luigi; Vahtera, Jussi; Hoogendijk, Emiel O.; Huisman, Martijn; Pentti, Jaana; Lindbohm, Joni V.; Bandinelli, Stefania; Guralnik, Jack M.; Kivimäki, Mika (2019)
    Background: Frailty is an important geriatric syndrome, but little is known about its development in the years preceding onset of the syndrome. The aim of this study was to examine the progression of frailty and compare the trajectories of each frailty component prior to frailty onset. Methods: Repeat data were from two cohort studies: the Longitudinal Aging Study Amsterdam (n = 1440) with a 15-year follow-up and the InCHIANTI Study (n = 998) with a 9-year follow-up. Participants were classified as frail if they had > 3 frailty components (exhaustion, slowness, physical inactivity, weakness, and weight loss). Transitions between frailty components were examined with multistate modeling. Trajectories of frailty components were compared among persons who subsequently developed frailty to matched nonfrail persons by using mixed effects models. Results: The probabilities were 0.43, 0.40, and 0.36 for transitioning from 0 to 1 frailty component, from 1 component to 2 components, and from 2 components to 3-5 components (the frail state). The transition probability from frail to death was 0.13. Exhaustion separated frail and nonfrail groups already 9 years prior to onset of frailty (pooled risk ratio [RR] = 1.53, 95% confidence interval [CI] 1.04-2.24). Slowness (RR = 1.94, 95% CI 1.44-2.61), low activity (RR = 1.59, 95% CI 1.19-2.13), and weakness (RR = 1.39, 95% CI 1.10-1.76) separated frail and nonfrail groups 6 years prior to onset of frailty. The fifth frailty component, weight loss, separated frail and nonfrail groups only at the onset of frailty (RR = 3.36, 95% CI 2.76-4.08). Conclusions: Evidence from two cohort studies suggests that feelings of exhaustion tend to emerge early and weight loss near the onset of frailty syndrome.
  • Björkman, Mikko P.; Jyväkorpi, Satu K.; Strandberg, Timo; Pitkälä, Kaisu H.; Tilvis, Reijo S. (2020)
    BACKGROUND: Bioimpedance skeletal muscle indices (SMI) are used as a surrogate for skeletal muscle mass, but their associations with physical functioning and obesity need further evaluation. AIMS: To compare the associations of body mass index (BMI), bioimpedance spectroscopy-based calf intracellular resistance (Cri-SMI), and single-frequency bioimpedance analysis (SF-SMI) indices with physical performance and the functioning of community-dwelling older people at risk of or already suffering from sarcopenia. METHODS: Pre-intervention measurements of the screened subjects and the participants of the Porvoo sarcopenia trial (N = 428) were taken. Cri-SMI, whole-body SF-SMI, and BMI were related to hand-grip strength, walking speed, short physical performance battery (SPPB), and the physical component of the RAND-36. RESULTS: Among the older people (aged 75-96), Cri-SMI correlated inversely with age (men r = - 0.113, p < 0.001; women r = - 0.287, p < 0.001), but positively with SPPB (r = 0.241, p < 0.001) and the physical component of the RAND-36 (r = 0.114, p = 0.024), whereas BMI was inversely associated with SPPB (r = - 0.133, p < 0.001) and RAND-36 (r = - 0.286, p < 0.001). After controlling for age, gender, and comorbidity, one unit of Cri-SMI (cm2/Ω) was associated with a 3.3-fold probability of good physical performance (SPPB ≥ 9 points, OR = 3.28, p < 0.001) and one unit of BMI (kg/m2) decreased the respective probability 4% (OR= 0.96, p = 0.065). Physical inactivity partly explained the negative association of BMI. When Cri-SMI and BMI were controlled for, a 1% difference in Cri-SMI was associated with a 0.7% (p < 0.001) higher probability of good performance, the respective figure being - 2.2% (p = 0.004) for BMI. The associations of SF-SMI with physical functioning indices were insignificant. CONCLUSIONS: Independent of each other, Cri-SMI was positively and BMI was inversely associated with the physical performance and functioning of community-dwelling older people who were at risk of or already suffering from sarcopenia. We found no association between SF-SMI and physical functioning.